用Tsallis q-高斯函数拟合l -半胱氨酸、半胱氨酸和同型半胱氨酸的SERS谱带

Amelia Carolina Sparavigna
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引用次数: 2

摘要

Tsallis q-高斯函数是一种概率分布,其形状可以根据其广义指数的q指标参数从洛伦兹曲线拉伸到高斯曲线。如前所述,q-高斯函数可以成功地应用于拉曼波段的反卷积。在这里,我们考虑将它们用于表面增强拉曼散射(SERS)光谱带的分析。这里考虑的案例研究是Sherman等人在2020年发表的l -半胱氨酸、半胱氨酸和同型半胱氨酸的SERS光谱。谢尔曼和他的同事们用柠檬酸钠将这些代谢物制成银胶体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SERS Spectral Bands of L-Cysteine, Cysteamine and Homocysteine Fitted by Tsallis q-Gaussian Functions
Tsallis q-Gaussian functions are probability distributions possessing a shape which can be stretched from a Lorentzian to a Gaussian profile, according to the q-index parameter of their generalized exponentials. As we have previously shown, the q-Gaussian functions can be successfully applied to the deconvolution of Raman bands. Here we consider them for being used in the analyses of the Surface Enhanced Raman Scattering (SERS) spectral bands. The case studies here considered are the SERS spectra published by Sherman et al., in 2020, of L-Cysteine, Cysteamine and Homocysteine. Sherman and coworkers prepared these metabolites in silver colloids with sodium citrate.
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